Professor Charles Norman MacLeod
Electronic and Electrical Engineering
Personal statement
Charles MacLeod is a Professor in the Centre for Ultrasonic Engineering.
He is the Babcock International Group / Royal Academy of Engineering Chair in Sensor-Driven Automated Welding.
He is director of the Sensor Enabled Automation & Robotics Control Hub (SEARCH), a £24M research innovation and technology transfer laboratory. Aligned to this, he is Course Director of the Autonomous Robotic Intelligent Systems (ARIS) MSc.
His research is primarily associated with the inspection and manufacturing enhancement of high-value assets and components, where he leads a number of high-profile inter-disciplinary in-process welding and metal additive research projects.
He has driven and co-developed core robotic and ultrasonic technology from fundamental EPSRC research, which is now being licensed by a leading industrial organisation and co-developed an innovative inspection robot for a critical life-extension inspection at Sellafield Reprocessing Facility.
He is the PI and designer of the Engaging Robotic Interactive Cell (ERIC) STEM Outreach cell.
His research interests include:
Non-Destructive Evaluation
In-Process Inspection of Fusion Welding & Metal Additive Components
Sensors including Ultrasonic, Electromagnetic, Tactile and Visual
Automation & Robotics
Automated Manufacturing & Welding
Teaching Activities.
Course Director: Autonomous Robotic Intelligent Systems (ARIS) MSc.
Module Registrar: EE987 Sensors & Instrumentation
Lecturer: EE312 Instrumentation and Microcontrollers
Prize And Awards
- The Engineer - Collaborate to Innovate Finalist AWESIM
- Recipient
- 1/3/2022
- Babcock International Group / Royal Academy of Engineering Chair in Sensor Driven Automated High-Integrity Welding
- Recipient
- 1/3/2022
- The BINDT Annual Conference Award
- Recipient
- 5/9/2019
- University of Strathclyde Faculty of Engineering Knowledge Exchange Award (2016)
- Recipient
- 1/8/2016
- Knowledge Exchange Award
- Recipient
- 2016
- University of Strathclyde EPSRC Doctoral Prize 2014/2015
- Recipient
- 1/1/2015
Publications
- Unsupervised machine learning for flaw detection in automated ultrasonic testing of carbon fibre reinforced plastic composites
- Tunukovic Vedran, McKnight Shaun, Pyle Richard, Wang Zhiming, Mohseni Ehsan, Pierce S Gareth, Vithanage Randika K W, Dobie Gordon, MacLeod Charles N, Cochran Sandy, O'Hare Tom
- Ultrasonics Vol 140 (2024)
- https://doi.org/10.1016/j.ultras.2024.107313
- Innovative non-invasive ultrasound method for whisky cask liquid level measurement
- Zhang Dayi, Jackson William, Dobie Gordon, MacLeod Charles, Gachagan Anthony
- Measurement Vol 228 (2024)
- https://doi.org/10.1016/j.measurement.2024.114345
- A study of machine learning object detection performance for phased array ultrasonic testing of carbon fibre reinforced plastics
- Tunukovic Vedran, McKnight Shaun, Mohseni Ehsan, Pierce S Gareth, Pyle Richard, Duernberger Euan, Loukas Charalampos, Vithanage Randika KW, Lines David, Dobie Gordon, MacLeod Charles N, Cochran Sandy, O'Hare Tom
- NDT and E International Vol 144 (2024)
- https://doi.org/10.1016/j.ndteint.2024.103094
- Three-dimensional residual neural architecture search for ultrasonic defect detection
- McKnight Shaun, MacKinnon Christopher, Pierce S Gareth, Mohseni Ehsan, Tunukovic Vedran, MacLeod Charles N, Vithanage Randika K W, O'Hare Tom
- IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control Vol 71, pp. 423-436 (2024)
- https://doi.org/10.1109/TUFFC.2024.3353408
- Towards an in-process ultrasonic phased array inspection method for narrow-gap welds
- Nicolson Ewan, Mohseni Ehsan, Lines David, Tant Katherine MM, Pierce Gareth, MacLeod Charles N
- NDT and E International Vol 144 (2024)
- https://doi.org/10.1016/j.ndteint.2024.103074
- Phased array ultrasonic method for robotic preload measurement in offshore wind turbine bolted connections
- Javadi Yashar, Mills Brandon, MacLeod Charles, Lines David, Abad Farhad, Lotfian Saeid, Mehmanparast Ali, Pierce Gareth, Brennan Feargal, Gachagan Anthony, Mineo Carmelo
- Sensors Vol 24 (2024)
- https://doi.org/10.3390/s24051421
Professional Activities
- Using In-Process NDE Inspection to Qualify WAAM Builds: Working towards Qualification for Different NDE Modalities
- Contributor
- 30/10/2023
- Flexible Robotics for Automated Non-Destructive Testing
- Contributor
- 24/7/2023
- Towards Flexible and Automated Robotic Multi-Pass Arc Welding
- Contributor
- 20/7/2023
- Royal Institute of Naval Architects Warship Conference - Invited Talk
- Speaker
- 31/5/2023
- Flexible Robotics to Inspect Aerospace Components
- Contributor
- 26/4/2023
- Machine Learning for Ultrasonic Testing of composites
- Contributor
- 25/4/2023
Projects
- Robotic laser ultrasonic inspection system for integration with a WAAM cell (Royce Industrial Collaboration Programme)
- Stratoudaki, Theodosia (Principal Investigator) MacLeod, Charles Norman (Co-investigator) Pierce, Gareth (Co-investigator)
- 01-Jan-2023 - 31-Jan-2024
- Improving Ultrasonic Imaging using Machine Learning - FIND CDT EngD with Rolls Royce
- Tant, Katherine Margaret Mary (Principal Investigator) MacLeod, Charles Norman (Co-investigator)
- 01-Jan-2023 - 30-Jan-2027
- DTP 2224 University of Strathclyde | Macleod, James
- MacLeod, Charles Norman (Principal Investigator) Dobie, Gordon (Co-investigator) Macleod, James (Research Co-investigator)
- 01-Jan-2023 - 01-Jan-2027
- Multi-Modal Sensing for Heavy-Manufacturing Robotic Welding
- Loukas, Charalampos (Principal Investigator) MacLeod, Charles Norman (Principal Investigator)
- Fusion welding of metals is a joining method fundamental to High-Value Manufacturing (HVM). Distinctive challenges such as the global shortage of welders and the increasing requirement for high-integrity components in the energy and defence sectors fuel the need to research and adopt digital welding
technologies such as sensor-enabled robotic welding. Surface and volumetric sensing approaches at the point of manufacture coupled with real-time robotic motion offer the possibility to control, adapt and consistently ensure defect-free fusion. This project seeks to investigate novel event-based neuromorphic vision sensing coupled to high-temperature in-process ultrasonic imaging to deliver high-integrity welds right the first time. - 26-Jan-2023 - 30-Jan-2023
- Digital Twin for Manufacturing and Image Processing
- Loukas, Charalampos (Principal Investigator) MacLeod, Charles Norman (Principal Investigator)
- Summer internship project for the student Eleanor Smith (4rth year). I am supervising the student who works on the area of digital twin for manufacturing and real-time image processing for robotic welding.
- 26-Jan-2023 - 30-Jan-2023
- Residual stress measurement round robin on a wire arc additively manufactured titanium alloy
- Javadi, Yashar (Principal Investigator) Sun, Yongle (Co-investigator) Alipooramirabad, Houman (Co-investigator) MacLeod, Charles Norman (Co-investigator) Reid, Mark (Co-investigator)
- The aim of this project is the development of a round-robin residual stress measurement to investigate the residual stress in titanium (Ti–6Al–4V) Wire + Arc Additive Manufacture (WAAM) components. Cranfield will contribute with the manufacturing and finite element modelling of the WAAM samples. ANSTO is supporting the project with residual stress measurement using Neutron Diffraction (ND) method.
- 21-Jan-2023 - 21-Jan-2023
Contact
Professor
Charles Norman
MacLeod
Electronic and Electrical Engineering
Email: charles.macleod@strath.ac.uk
Tel: Unlisted